




from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCAmelCase_						 =					logging.get_logger(__name__)

lowerCAmelCase_						 =					{
    'abeja/gpt-neox-japanese-2.7b': 'https://huggingface.co/abeja/gpt-neox-japanese-2.7b/resolve/main/config.json',
}
class 		_A   (    _lowerCamelCase ):
  _UpperCamelCase  :     List[str]					=     '''gpt_neox_japanese'''






  def __init__(    self						:      List[Any] ,		_A						:      List[Any]=32_000 ,		_A						:      int=2_560 ,		_A						:      Any=32 ,		_A						:      Union[str, Any]=32 ,		_A						:      Tuple=4 ,		_A						:      Union[str, Any]="gelu" ,		_A						:      Optional[int]=1.00 ,		_A						:      List[Any]=10_000 ,		_A						:      Dict=2_048 ,		_A						:      str=0.02 ,		_A						:      int=1E-5 ,		_A						:      List[str]=True ,		_A						:      Union[str, Any]=31_996 ,		_A						:      Optional[Any]=31_999 ,		_A						:      Optional[int]=0.1 ,		_A						:      Optional[Any]=0.0 ,		**_A						:      List[str] ,		)						->       Tuple:






       """simple docstring"""







       super().__init__(bos_token_id=_A ,		eos_token_id=_A ,		**_A )
       lowercase   :  str        =					vocab_size
       lowercase   :  List[Any]        =					max_position_embeddings
       lowercase   :  Optional[Any]        =					hidden_size
       lowercase   :  int        =					num_hidden_layers
       lowercase   :  str        =					num_attention_heads
       lowercase   :  str        =					intermediate_multiple_size
       lowercase   :  str        =					hidden_act
       lowercase   :  Optional[int]        =					rotary_pct
       lowercase   :  Union[str, Any]        =					rotary_emb_base
       lowercase   :  Any        =					initializer_range
       lowercase   :  List[Any]        =					layer_norm_eps
       lowercase   :  Optional[int]        =					use_cache
       lowercase   :  Any        =					attention_dropout
       lowercase   :  Optional[Any]        =					hidden_dropout





'''simple docstring'''


from typing import TYPE_CHECKING

from ....utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCAmelCase_					=   {
    "configuration_trajectory_transformer": [
        "TRAJECTORY_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "TrajectoryTransformerConfig",
    ],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  UpperCAmelCase_					=   [
      "TRAJECTORY_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
      "TrajectoryTransformerModel",
      "TrajectoryTransformerPreTrainedModel",
      "load_tf_weights_in_trajectory_transformer",
  ]


if TYPE_CHECKING:
  from .configuration_trajectory_transformer import (
      TRAJECTORY_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
      TrajectoryTransformerConfig,
  )

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_trajectory_transformer import (
        TRAJECTORY_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
        TrajectoryTransformerModel,
        TrajectoryTransformerPreTrainedModel,
        load_tf_weights_in_trajectory_transformer,
    )


else:
  import sys

  UpperCAmelCase_					=   _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)



